Cheng Cheng

37 papers and 292 indexed citations i.

About

Cheng Cheng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Cheng Cheng has authored 37 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Computational Mechanics. Recurrent topics in Cheng Cheng’s work include Advanced Graph Neural Networks (10 papers), Complex Network Analysis Techniques (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Cheng Cheng is often cited by papers focused on Advanced Graph Neural Networks (10 papers), Complex Network Analysis Techniques (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Cheng Cheng collaborates with scholars based in China, United States and Canada. Cheng Cheng's co-authors include Qiyu Sun, Emanuel Parzen, Junzheng Jiang, Ning Dai, Lan Li, Guangming Shi, Deguang Han, Qingjin Peng, Xiaosheng Cheng and James Caverlee and has published in prestigious journals such as Kidney International, IEEE Transactions on Signal Processing and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Cheng Cheng i

Fields of papers citing papers by Cheng Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng Cheng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cheng Cheng. The network helps show where Cheng Cheng may publish in the future.

Countries citing papers authored by Cheng Cheng

Since Specialization
Citations

This map shows the geographic impact of Cheng Cheng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cheng Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Cheng more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025